Game Video Analysis System for Real-Time Player Identification
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Solution Overview
Problem
Current online gaming and spectating systems lack the ability to effectively analyze and provide detailed information about game content and player interactions in real-time, limiting the engagement and learning experience for both players and spectators.
Innovation Solution
A game information system that analyzes game video and metadata to identify game content and players, providing additional metadata and information to participants through overlays and user interfaces, allowing for enhanced interaction and understanding of the game environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If game video and metadata are analyzed in real-time to identify game content and players, then information completeness and player engagement are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the game information processing into distinct modules: video analysis module that extracts visual game content, metadata analysis module that processes game data, and player identification module that links content to players. This segmentation allows each module to specialize in specific tasks, reducing overall system complexity while maintaining comprehensive information extraction.
Solution Approach 2:
The patent introduces an intermediary game information system that acts as a mediator between the game platform and spectators. This intermediary system processes and structures game video and metadata, transforming raw data into organized game content information that can be efficiently delivered to end users without overwhelming the original game system.
2Reliability
If detailed game information and player insights are provided to spectators, then spectator engagement and learning experience are improved, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary analysis of game video and metadata during the game session itself, pre-processing and structuring the information before it needs to be delivered to spectators. This preliminary action ensures that when spectators request information, it is already prepared and organized, reducing real-time processing requirements and energy consumption.
Solution Approach 2:
The game information system automatically analyzes game content and generates player insights without requiring manual intervention. The system self-services by continuously processing game video and metadata, identifying game content, and associating it with players autonomously, thereby reducing the need for additional human resources while maintaining high engagement quality.
3Measurement precision
If game content identification and player mapping are performed continuously, then real-time information accuracy is improved, but computational load and processing time increase
Solution Approach 1:
The system maintains continuous analysis of game video and metadata throughout the game session, ensuring that game content is consistently identified and players are accurately mapped to their actions. This continuous processing, rather than periodic sampling, maintains high information accuracy by capturing all relevant game events as they occur.
Solution Approach 2:
The patent employs automated computer vision and machine learning algorithms to replace manual game content identification and player mapping processes. These automated systems process game video and metadata rapidly, achieving high accuracy in identifying game content and associating it with the correct players without the time consumption associated with manual analysis.
Data Source
AI summary
A game information system that locates and identifies content in live or prerecorded video of games or other events, and that obtains information about the located content from one or more sources. Players associated with the located and identified content may be identified, and information about the players may also be obtained. The information about the identified content and/or players may be provided to devices associated with participants for display. The information may be overlaid on the game video and/or displayed in separate windows or screens. A participant may interact with the displayed information to obtain additional information about the content and/or players. Video and/or audio analysis techniques may be used to locate the content in the video. A machine learning technique may be used to improve performance of content location and identification over time.